Dask parallelization of product quantization and inverted indexing allows large-scale approximate nearest neighbor search while preserving accuracy and reducing computation to medium-scale levels.
Predicting Langmuir model parameters for tungsten adsorption in heterogeneous soil ‘types’ using compositional signatures,
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Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask
Dask parallelization of product quantization and inverted indexing allows large-scale approximate nearest neighbor search while preserving accuracy and reducing computation to medium-scale levels.